Paper Citation Record · LEDGER

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:1908.11860.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.11860 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:09:29.234148Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:22:58.205885Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T11:22:58.343684Z

Reference resolution

23 of 23 outbound references displayed

verified exact5
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f8b4d8a-2f92-4eed-835b-fc0e35f3440a · outbound

This paper cites URL: " 'urlintro :=.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.128593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d259cc-5377-472d-8226-dd4e83178453 · outbound

This paper cites write newline.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.133712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c4e54ff-89da-4c41-899c-fa080255fcd6 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.138400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed281504-807a-4c26-870f-75920064ca96 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.142834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 654d3ae8-e21b-4075-a167-82dc35e4ed0b · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.148819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee714714-e472-47e7-9020-d4c6b7a0d811 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 6

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T10:09:29.763727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 576a0626-b8b2-45d3-92b2-c63e6b080266 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.157786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba47b64-5dc5-4616-add3-7c9f65dc2b8f · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:09:29.831450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9766455a-ce59-48a0-890d-9f22ade81518 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 9

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-14T10:09:29.581169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b389f7bc-20ea-4e11-b613-8491aae90768 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Adam: A Method for Stochastic Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.172083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b345250-9720-4203-bb0c-fde8fc9a6faa · outbound

This paper cites Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:09:29.409817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 218a77cc-5519-4575-b096-d396149658d3 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.181082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd0c3cba-05a3-4a01-874e-99297558fd5f · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.185995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2232b01a-48ac-421b-b4b0-8d942d2bf372 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:09:29.818541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16944cde-d776-4951-9045-b0751683e4b8 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:09:29.804017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b43b0c4c-4273-4e0e-82e0-4ae690f4b98b · outbound

This paper cites Attentional Encoder Network for Targeted Sentiment Classification.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Attentional Encoder Network for Targeted Sentiment Classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.199744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c5f022-1f20-4f06-9ac5-19ea93810b36 · outbound

This paper cites Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.204070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b63576-3672-401a-ac12-e39fb5e4716f · outbound

This paper cites Effective LSTMs for Target-Dependent Sentiment Classification.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Effective LSTMs for Target-Dependent Sentiment Classification

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:09:29.367348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b997149d-7122-4ed8-9602-670fbe21968f · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.215668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67be7a2b-a34a-4ba1-afbd-d3f587493f82 · outbound

This paper cites an unresolved cited work.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:09:29.791047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba9983b0-23ac-4d95-b50f-3d28de915a8c · outbound

This paper cites BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.225430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44cb75fd-2a1e-4543-a33d-0c371595d465 · outbound

This paper cites XLNet: Generalized Autoregressive Pretraining for Language Understanding.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification XLNet: Generalized Autoregressive Pretraining for Language Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T10:09:29.230004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ee248c6-7546-4547-bece-aa0776e3c8b2 · outbound

This paper cites Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:09:29.320547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 03bab130-a22a-402d-a40a-5211f95cd7b6 · inbound

Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa cites this paper.

Performance Evaluation of Emotion Classification in Japanese Using RoBERTa and DeBERTa Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:22:58.348567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.